Dongfang Li

According to our database, Dongfang Li authored at least 44 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards.

Zetian Sun, Dongfang Li, Zhuoen Chen, Yuhuai Qin, Baotian Hu

CoRR, August, 2025

Improving Value-based Process Verifier via Low-Cost Variance Reduction.

Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang

CoRR, August, 2025

Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment.

Zetian Sun, Dongfang Li, Baotian Hu

CoRR, August, 2025

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model.

Xinping Zhao, Xinshuo Hu, Zifei Shan, Shouzheng Huang, Yao Zhou, Zetian Sun, Zhenyu Liu, Dongfang Li, Xinyuan Wei, Qian Chen, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu, Min Zhang

CoRR, June, 2025

Improving Value-based Process Verifier via Structural Prior Injection.

Zetian Sun, Dongfang Li, Baotian Hu, Jun Yu, Min Zhang

CoRR, February, 2025

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model.

Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang

CoRR, January, 2025

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG.

Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models.

Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion.

Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang

CoRR, 2024

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection.

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

CoRR, 2024

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer.

Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang

CoRR, 2024

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection.

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

In-Context Learning State Vector with Inner and Momentum Optimization.

Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation.

Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment.

Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer.

Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Attributed Text Generation of Large Language Models via Preference Learning.

Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Temporal Knowledge Question Answering via Abstract Reasoning Induction.

Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation.

Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training.

Dongfang Li, Baotian Hu, Qingcai Chen, Shan He

CoRR, 2023

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration.

Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu

CoRR, 2023

A Survey of Large Language Models Attribution.

Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang

CoRR, 2023

Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval.

Nengzheng Jin, Dongfang Li, Junying Chen, Joanna Siebert, Qingcai Chen

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination.

Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

SeDR: Segment Representation Learning for Long Documents Dense Retrieval.

Junying Chen, Qingcai Chen, Dongfang Li, Yutao Huang

CoRR, 2022

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates.

Dongfang Li, Baotian Hu, Qingcai Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-based Text Entailment for Low-Resource Named Entity Recognition.

Dongfang Li, Baotian Hu, Qingcai Chen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Survey on Table Question Answering: Recent Advances.

Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022

Retrieval-Then-Parsing: A Two-Stage Model for SQL Generation in Financial Domain.

Nengzheng Jin, Dongfang Li, Junying Chen, Yubin Qiu, Qingcai Chen

Proceedings of the CCKS 2022 - Evaluation Track, 2022

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction.

Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation.

Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach.

Yanghua Fan, Dongfang Li, Yifan Liu, Ming Feng, Qingcai Chen, Renzhi Wang

Int. J. Mach. Learn. Cybern., 2021

Drug knowledge discovery via multi-task learning and pre-trained models.

Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng, Qingcai Chen

BMC Medical Informatics Decis. Mak., 2021

Attentive capsule network for click-through rate and conversion rate prediction in online advertising.

Dongfang Li, Baotian Hu, Qingcai Chen, Xiao Wang, Quanchang Qi, Liubin Wang, Haishan Liu

Knowl. Based Syst., 2021

You Can Do Better! If You Elaborate the Reason When Making Prediction.

Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu

CoRR, 2021

MSDF: A General Open-Domain Multi-skill Dialog Framework.

Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

FHTC: Few-Shot Hierarchical Text Classification in Financial Domain.

Anqi Wang, Qingcai Chen, Dongfang Li

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Gated Semantic Difference Based Sentence Semantic Equivalence Identification.

Xin Liu, Qingcai Chen, Xiangping Wu, Yang Hua, Jing Chen, Dongfang Li, Buzhou Tang, Xiaolong Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text.

Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework.

Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang

CoRR, 2019

BERTSel: Answer Selection with Pre-trained Models.

Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li

CoRR, 2019

Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task.

Dongfang Li, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning.

Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen

Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018

LCQMC: A Large-scale Chinese Question Matching Corpus.

Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang

Proceedings of the 27th International Conference on Computational Linguistics, 2018